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Software is increasingly deployed in vehicles as demand for new functionality increases and cheaper and more powerful hardware becomes available. Likewise, emerging wireless communication protocols allow the integration of new software into vehicles, thereby enabling time-bounded adaptive response to changes that occur in mobile environments. Examples of time-bounded adaptation include adaptive cruise control and the dynamic integration of location-aware services within fixed time bounds.This paper provides three contributions to the study of time-bounded adaptation for automotive system software. First, we categorise automotive systems with respect to requirements for dynamic software adaptation. Second, we define a taxonomy that captures various dimensions of dynamic adaptation in emerging automotive system software. Third, we use this taxonomy to analyse existing research projects in the automotive domain. Our analysis shows that although time-bounded synchronisation of applications and data is a key requirement for next-generation automotive systems, it is not adequately covered by existing work.

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Component-based software increasingly needs dynamic adaptation to support applications in domains such as automotive, avionics or robotic systems. Dynamic software adaptation involves both the integration of new, previously unanticipated features and the update of existing features without requiring system downtime. Software adaptations must often be time-bounded, e.g., due to mobility constraints. Inconsistent or inaccurate behaviour may result from an adaptation that does not complete within specified time constraints. Service providers must therefore take time constraints into account when scheduling adaptation actions. This paper describes an algorithm for time-bounded scheduling of adaptation actions and demonstrates the validity of its results.